Running ‘spelling.R’ [0s/1s]
  Running ‘testthat.R’ [280s/309s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(ggstatsplot)
  > 
  > test_check("ggstatsplot")
  Note: 95% CI for effect size estimate was computed with 100 bootstrap samples.
  # A tibble: 36 x 11
     group1 group2 mean.difference conf.low conf.high    se t.value    df p.value
     <chr>  <chr>            <dbl>    <dbl>     <dbl> <dbl>   <dbl> <dbl>   <dbl>
   1 Comedy Actio…           0.081   -0.713     0.874 0.174   0.329  53.9   1    
   2 Comedy Action          -0.403   -1.25      0.442 0.187   1.52   71.4   1    
   3 Comedy Actio…           0.638   -0.236     1.51  0.192   2.35   60.4   1    
   4 Comedy Roman…           1.10     0.28      1.91  0.177   4.37   46.3   0.056
   5 Comedy Drama            1.2      0.633     1.77  0.127   6.66  153.    0    
   6 Comedy RomCom           0.456   -0.244     1.16  0.156   2.06  108.    1    
   7 Comedy Comed…           0.929    0.302     1.56  0.14    4.69  111.    0    
   8 Comedy Anima…           1.05     0.354     1.75  0.146   5.10   25.3   0.029
   9 Actio… Action          -0.483   -1.44      0.471 0.21    1.63   62.4   1    
  10 Actio… Actio…           0.557   -0.421     1.54  0.215   1.84   58.0   1    
  # … with 26 more rows, and 2 more variables: significance <chr>,
  #   p.value.label <chr>
  Note: Shapiro-Wilk Normality Test for rating : p-value = < 0.001
  Note: Bartlett's test for homogeneity of variances for factor genre : p-value = 0.002
  Note: Shapiro-Wilk Normality Test for cty : p-value = < 0.001
  Note: Bartlett's test for homogeneity of variances for factor drv : p-value = 0.0045
  ── 1. Failure: check merMod output (@test_ggcoefstats.R#515)  ──────────────────
  tidy_df3$label not identical to c(...).
  1/7 mismatches
  x[1]: "list(~italic(beta)==533.72, ~italic(t)(566)==8.60, ~italic(p)<= 0.001)"
  y[1]: "list(~italic(beta)==533.71, ~italic(t)(566)==8.60, ~italic(p)<= 0.001)"
  
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: For the object of class tbl_df , the argument `statistic` is not specified ('t', 'z', or 'f'),
   so no labels will be displayed.
  Note: No model diagnostics information available for the object of class tbl_df .
  Error: The object of class tbl_df *must* contain the following two columns: 'term' and 'estimate'.
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: For the object of class tbl_df , the argument `statistic` is not specified ('t', 'z', or 'f'),
   so no labels will be displayed.
  Error: All elements in the column `term` should be unique.Note: No model diagnostics information available for the object of class tbl_df .
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: No p-values and/or statistic available for regression coefficients from tbl_df object; 
  skipping labels with stats.
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: No p-values and/or statistic available for regression coefficients from tbl_df object; 
  skipping labels with stats.
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: No model diagnostics information available for the object of class tbl_df .
  Note: No model diagnostics information available for the object of class tbl_df .
  Error: The dataframe **must** contain the following two columns:
  `estimate` and `std.error`.Note: The object of class kmeans aren't currently supported.
  Note: In the correlation matrix,
  the upper triangle: p-values adjusted for multiple comparisons
  the lower triangle: unadjusted p-values.
  Note: Shapiro-Wilk Normality Test for Speed : p-value = 0.3410
  Note: Shapiro-Wilk Normality Test for height : p-value = < 0.001
  Note: Results from faceted one-sample proportion tests:
  # A tibble: 2 x 7
    condition Male   Female `Chi-squared`    df `p-value` significance
    <fct>     <chr>  <chr>          <dbl> <dbl>     <dbl> <chr>       
  1 No        91.54% 8.46%       1029.        1     0     ***         
  2 Yes       51.62% 48.38%         0.744     1     0.388 ns          
  Note: 95% CI for effect size estimate was computed with 25 bootstrap samples.
  Error in chisq.test(counts, p = expProps) : 
    'x' must at least have 2 elements
  Warning: Proportion test will not be run because it requires x to have at least 
  2 levels with non-zero frequencies.
  Note: 99% CI for effect size estimate was computed with 15 bootstrap samples.
  Error in chisq.test(counts, p = expProps) : 
    'x' must at least have 2 elements
  Warning: Proportion test will not be run because it requires x to have at least 
  2 levels with non-zero frequencies.
  Error in chisq.test(counts, p = expProps) : 
    'x' must at least have 2 elements
  Note: 95% CI for effect size estimate was computed with 100 bootstrap samples.
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 685 SKIPPED: 54 FAILED: 1
  1. Failure: check merMod output (@test_ggcoefstats.R#515) 
  
  Error: testthat unit tests failed
  Execution halted